2022
DOI: 10.3390/rs14236053
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A Lightweight Model for Ship Detection and Recognition in Complex-Scene SAR Images

Abstract: SAR ship detection and recognition are important components of the application of SAR data interpretation, allowing for the continuous, reliable, and efficient monitoring of maritime ship targets, in view of the present situation of SAR interpretation applications. On the one hand, because of the lack of high-quality datasets, most existing research on SAR ships is focused on target detection. Additionally, there have been few studies on integrated ship detection and recognition in complex SAR images. On the o… Show more

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Cited by 30 publications
(16 citation statements)
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“…The one-stage YOLO series is more in accordance with the real-time and precise detection needs at this level, as can be observed from the research state indicated above in the context of remote sensing photo detection. Xiong et al proposed a lightweight model for ship detection and recognition in complex-scene SAR images by integrating different attention mechanisms into the YOLOv5-n lightweight model [63].…”
Section: State Of the Artmentioning
confidence: 99%
“…The one-stage YOLO series is more in accordance with the real-time and precise detection needs at this level, as can be observed from the research state indicated above in the context of remote sensing photo detection. Xiong et al proposed a lightweight model for ship detection and recognition in complex-scene SAR images by integrating different attention mechanisms into the YOLOv5-n lightweight model [63].…”
Section: State Of the Artmentioning
confidence: 99%
“…SAR's self-illumination capability ensures that they always produce high-quality images under any circumstance (Chang et al, 2019). SAR has been extensively employed in ship identification (Ma et al, 2018;Xu et al, 2021;Li et al, 2022;Yasir et al, 2022;Xiong et al 2022), oil spill identification (Yekeen et al, 2020;Wang et al, 2022), change detection (Gao et al, 2019;Chen and Shi, 2020;Zhang et al, 2020b;Wang et al, 2022), and other fields (Niedermeier et al, 2000;Baselice and Ferraioli, 2013). Because of its broad observation range, brief observation duration, great data timeliness, and high spatial resolution (Ouchi, 2013), SAR performing a significant role in ship identification.…”
Section: Introductionmentioning
confidence: 99%
“…A lot of work has also been done by many researchers on the detection of small ships in complex backgrounds: Xiong et al [16] integrated different attention mechanisms in the target feature extraction layer in order to suppress the effects of complex background interference and ship distribution;Li et al [17] proposed an attention-guided balanced feature pyramid network (A-BFPN) to reduce the interference of complex backgrounds, and developed an enhanced refinement module (ERM) to enable the BFPN to learn dependent features from the channel and spatial dimensions, respectively;Chen et al [18] designed a SAS-FPN module that incorporates directionless spatial focusing to allow the model to focus on important information while ignoring irrelevant information, reduce feature loss in small ships;Ren et al [19] designed the Enhanced Spatial Pyramid Pooling (EnSPP) module to enhance the representation of features and to solve the problem of loss of position information of small SAR ships at high altitude.…”
Section: Introductorymentioning
confidence: 99%